Codetown
Codetown ::: a software developer's community
Bradlee Sargent's Groups (9)
.Net Town
18 members Latest Activity: Apr 13, 2020 What's up with .Net in your neck of the woods? We'll discuss all the basics here. Eventually, we'l break out separate groups for C#, etc...
Community Corral
23 members Latest Activity: Aug 23, 2012 Are you interested in social networks? We're talking about virtual communities here. Community builders use tools and techniques. We'll discuss them…
Wikipedia Place
9 members Latest Activity: Oct 27, 2011 We've had a unique opportunity to speak with Brion Vibber recently at the October Orlandojug meeting. Let's discuss what we learned for those who…
Cloud Computing Village
16 members Latest Activity: Aug 21, 2015 Cloud Computing is "the next big thing". The recent JavaOne featured Cloud Computing more than any other technology. Come join us and explore /…
Startup City
24 members Latest Activity: Jun 10, 2016 Have you got a great idea you'd like to put into action? This is the place for you! We'll talk about ideas and how to turn them into businesses here.
Democratic Republic of Congo (RDC) JUG Town
8 members Latest Activity: Jun 5, 2014
Come join us here at the RDC JUG Town! Stanislas Matayo and the group in Kinshasa welcome you.
Computational Linguistics Village
15 members Latest Activity: May 6, 2018 Ever wonder how Google Translate works? It's computational linguistics! Join us here and learn all about it and more. Jim White will be our guide.…
Android Town
35 members Latest Activity: Jul 20, 2019 Android is an open Java-based platform to use for developing mobile apps. Do you believe mobile computing is the wave of the future? We do!
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
AWS Expands Well-Architected Framework with Responsible AI and Updated ML and Generative AI Lenses
At AWS re:Invent 2025, AWS expanded its Well-Architected Framework with a new Responsible AI Lens and updated Machine Learning and Generative AI Lenses. The updates provide guidance on governance, bias mitigation, scalable ML workflows, and trustworthy AI system design across the full AI lifecycle.
By Leela KumilioRPC Releases Version 1.0 with OpenAPI Support and End to End Type Safety
Introducing oRPC 1.0, a cutting-edge TypeScript library for building typesafe APIs, offering a stable, production-ready solution with full OpenAPI integration. Key features include enterprise-grade type safety, complex type support, and seamless integration with popular frameworks. With superior performance and comprehensive migration guides, oRPC emerges as a choice for modern API development.
By Daniel CurtisQCon AI New York 2025: AI Platform Scaling at LinkedIn
At QCon AI NY 2025, LinkedIn's Prince Valluri and Karthik Ramgopal unveiled an internal platform for AI agents, prioritizing execution over intelligence. By using structured specifications within a robust orchestration layer, they enhance agent observability and interoperability while ensuring human accountability.
By Andrew HoblitzellPinterest Engineering Reduces Android CI Build Times by 36% with Runtime-Aware Sharding
Pinterest published a technical case study detailing how its engineering team cut Android end-to-end (E2E) continuous integration (CI) build times by more than 36 percent by adopting a runtime-aware test-sharding strategy and building an internal testing platform.
By Craig RisiPresentation: Lessons Learned From Shipping AI-Powered Healthcare Products
Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement input/output guardrails for regulated industries and shares a framework for robust evaluations using human and LLM-based ratings. From prompt engineering to RAG and user feedback loops, she shares a data-driven roadmap for building reliable AI care agents at scale.
By Clara Matos
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